Optimal Clean Transportation Networks for Cities

This interdisciplinary project brings together faculty from all three NYU campuses to develop advanced planning frameworks for decarbonized urban transportation systems. By integrating electric and hydrogen bus fleets with a novel NYU-developed hybrid energy storage/hydrogen generation technology, the team aims to optimize infrastructure deployment and operational logistics under uncertainty. Their two-stage stochastic model incorporates real-world constraints from energy and transportation networks and leverages AI, dimensionality reduction, and quantum computing techniques for large-scale optimization. Early collaboration has led to model development, integration of experimental data, and plans for realistic case studies.